Fast and effective protein model refinement using deep graph neural networks
Protein model refinement is the last step applied to improve the quality of a predicted protein
model. Currently, the most successful refinement methods rely on extensive conformational …
model. Currently, the most successful refinement methods rely on extensive conformational …
[HTML][HTML] Fast and effective protein model refinement using deep graph neural networks
X Jing, J Xu - Nature computational science, 2021 - ncbi.nlm.nih.gov
Protein model refinement is the last step applied to improve the quality of a predicted protein
model. Currently the most successful refinement methods rely on extensive conformational …
model. Currently the most successful refinement methods rely on extensive conformational …
Fast and effective protein model refinement using deep graph neural networks
X Jing, J Xu - Nature computational science, 2021 - pubmed.ncbi.nlm.nih.gov
Protein model refinement is the last step applied to improve the quality of a predicted protein
model. Currently the most successful refinement methods rely on extensive conformational …
model. Currently the most successful refinement methods rely on extensive conformational …
Fast and effective protein model refinement using deep graph neural networks.
X Jing, J Xu - Nature Computational Science, 2021 - europepmc.org
Protein model refinement is the last step applied to improve the quality of a predicted protein
model. Currently the most successful refinement methods rely on extensive conformational …
model. Currently the most successful refinement methods rely on extensive conformational …